摘要
通过阐述利用 KPCA 进行特征提取的基本原理,系统的介绍了基于 KPCA 的图像去噪方法,并选择高斯径向基核函数对加噪后的试验图像实现了去噪处理,取得了较好的效果。
This paper introduces the method of image de-noising based on KPCA by illustration the basic theory of feature extraction through kernel principal component analysis, then successfully dealing with a noised trial image by the choice of Gaussian RBF kernel function.
出处
《红外技术》
CSCD
北大核心
2004年第6期58-61,共4页
Infrared Technology
